Open AccessFacilitation of air traffic control via optical character recognition‐based aircraft registration number extraction
Author(s) -
Vidakis Dimitrios G.,
Kosmopoulos Dimitrios I.
Publication year - 2018
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2017.0332
Subject(s) - computer science , identifier , air traffic control , computer vision , complement (music) , artificial intelligence , control (management) , real time computing , transport engineering , engineering , computer network , aerospace engineering , biochemistry , chemistry , complementation , gene , phenotype
To identify any aircraft in the world, it is sufficient to read its registration number. This number is a unique identifier, and offers valuable information, in the same way a car registration number does. In this work, the authors present the results of their feasibility study towards a simple, yet very efficient and effective system to identify aircrafts using video‐optical character recognition acquired by off‐the‐shelf cameras. They used several videos under realistic conditions at the Heraklion airport during high season and they achieved very promising results. They claim that there is much room for the development of a low‐cost airport surface monitoring system based on standard cameras, which can complement high‐cost radars.